When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications
- Kevin Pei
- Ishan Jindal
- et al.
- 2023
- ACL 2023
Conference paper
Publications
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
- Shachar Don-Yehiya
- Elad Venezian
- et al.
- 2023
- ACL 2023
Conference paperAre Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations
- Bingsheng Yao
- Prithviraj Sen
- et al.
- 2023
- ACL 2023
Conference paperBERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems
- Zishen Wan
- Nandhini Chandramoorthy
- et al.
- 2023
- DAC 2023
Conference paperMatching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models
- Myles Foley
- Ambrish Rawat
- et al.
- 2023
- ACL 2023
Conference paperAre Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales
- Paulina Toro Isaza
- Guangxuan Xu
- et al.
- 2023
- ACL 2023
Conference paperMulti-Row, Multi-Span Distant Supervision For Table+Text Question Answering
- Vishwajeet Kumar
- Yash Gupta
- et al.
- 2023
- ACL 2023
Conference paperNaamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages
- Arnav Mhaske
- Harshit Kedia
- et al.
- 2023
- ACL 2023
Conference paperLaziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing
- Maxwell Crouse
- Pavan Kapanipathi
- et al.
- 2023
- ACL 2023
Conference paperThe Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients
- Sara E. Berger
- Carla Agurto
- et al.
- 2023
- ICDH 2023
Conference paper